The graph represents a network of 221 Twitter users whose tweets in the requested range contained "#data4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 November 2020 at 16:54 UTC.
The requested start date was Monday, 16 November 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 11-day, 9-hour, 44-minute period from Monday, 02 November 2020 at 07:27 UTC to Friday, 13 November 2020 at 17:11 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 221
Unique Edges : 153
Edges With Duplicates : 462
Total Edges : 615
Number of Edge Types : 5
Retweet : 171
MentionsInRetweet : 258
Tweet : 61
Mentions : 121
Replies to : 4
Self-Loops : 62
Reciprocated Vertex Pair Ratio : 0.056140350877193
Reciprocated Edge Ratio : 0.106312292358804
Connected Components : 29
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 150
Maximum Edges in a Connected Component : 479
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.68085
Graph Density : 0.00619086795557384
Modularity : 0.411772
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 221 Twitter users whose tweets in the requested range contained "#data4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 November 2020 at 16:54 UTC.
The requested start date was Monday, 16 November 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 11-day, 9-hour, 44-minute period from Monday, 02 November 2020 at 07:27 UTC to Friday, 13 November 2020 at 17:11 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : #data4good
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[19] going,give [19] give,short [19] short,tutorial [19] tutorial,tools [19] tools,used [19] used,build [19] build,modularized [19] modularized,#shiny [19] #shiny,app [19] app,won Top Word Pairs in Tweet in G1:
[9] #data,#analytics [8] teens,circle [8] circle,online [8] online,class [8] class,wednesday [8] wednesday,4pt [8] 4pt,#data [8] #analytics,used [8] used,make [8] make,world Top Word Pairs in Tweet in G2:
[5] correlaid,conference [5] protect,personal [5] personal,sensitive [5] sensitive,information [5] information,take [5] take,converged [5] converged,approach [5] approach,analytics [5] analytics,data [5] data,sharing Top Word Pairs in Tweet in G3:
[11] #bigdata,#datascience [8] wisconsin,utility [8] utility,turns [8] turns,#ai [8] #ai,reduce [8] reduce,wasted [8] wasted,power [8] power,#bigdata [8] #datascience,#data4good [7] kirkdborne,wisconsin Top Word Pairs in Tweet in G4:
[17] data,science [17] science,lead [17] lead,dulcievousden [17] dulcievousden,volunteer [17] volunteer,a_campello_jr [17] a_campello_jr,giving [17] giving,joint [17] joint,talk [10] friday,data [9] datakinduk,friday Top Word Pairs in Tweet in G5:
[5] kirkdborne,curiosity [5] curiosity,coding [5] coding,kids [5] kids,sassoftware [5] sassoftware,ceo [5] ceo,jim [5] jim,goodnight [5] goodnight,#kids [5] #kids,kids [5] kids,#datascience Top Word Pairs in Tweet in G6:
[17] going,give [17] give,short [17] short,tutorial [17] tutorial,tools [17] tools,used [17] used,build [17] build,modularized [17] modularized,#shiny [17] #shiny,app [17] app,won Top Word Pairs in Tweet in G7:
[2] machine,learning [2] nov,'20 [2] #prediction,dems [2] #data4good,#anthropologyinsights [2] #anthropologyinsights,#election2020 [2] one,latest [2] latest,#data4good [2] #data4good,projects [2] projects,durham [2] durham,public Top Word Pairs in Tweet in G8:
[17] #ai,#machinelearning [6] #wildlife,#conservation [5] ai,technology [5] technology,revealing [5] revealing,hidden [5] hidden,world [5] world,bats [5] bats,#ai [5] #machinelearning,#data4good [5] #data4good,#wildlife Top Word Pairs in Tweet in G9:
[3] ray,cheung [3] cheung,smartairla [3] smartairla,shares [3] shares,insights [3] insights,community [3] community,data [3] data,protect [3] protect,people [3] people,dataconla [2] latech4good,ray Top Word Pairs in Tweet in G10:
[6] data,feminist [6] feminist,wait [6] wait,read [6] read,books [6] books,iwda [6] iwda,#dataequity [6] #dataequity,#data4good [5] ethelkarskens,data Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: